Triple

T1498713
Position Surface form Disambiguated ID Type / Status
Subject Xikou, Fenghua, Zhejiang, Qing Empire E29745 entity
Predicate hasChineseName P4878 FINISHED
Object 溪口
溪口是位于中国浙江省奉化区的一个历史悠久的小镇，以自然风光和民俗文化闻名。
 E170361 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 溪口 | Statement: [Xikou, Fenghua, Zhejiang, Qing Empire, hasChineseName, 溪口]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 溪口
Context triple: [Xikou, Fenghua, Zhejiang, Qing Empire, hasChineseName, 溪口]
  • A. Moshan Scenic Area
    Moshan Scenic Area is a popular tourist destination within Wuhan’s East Lake area, known for its forested hills, temples, and panoramic lake views.
  • B. Xuancheng
    Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
  • C. Tingtao Scenic Area
    Tingtao Scenic Area is a popular lakeside tourist spot within Wuhan’s East Lake area, known for its tranquil waterfront views, landscaped gardens, and cultural pavilions.
  • D. 赤城山
    赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
  • E. Chuting Scenic Area
    Chuting Scenic Area is a picturesque tourist spot within Wuhan’s East Lake area, known for its lakeside views, landscaped greenery, and recreational walking paths.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 溪口
Triple: [Xikou, Fenghua, Zhejiang, Qing Empire, hasChineseName, 溪口]
Generated description
溪口是位于中国浙江省奉化区的一个历史悠久的小镇，以自然风光和民俗文化闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 溪口
Target entity description: 溪口是位于中国浙江省奉化区的一个历史悠久的小镇，以自然风光和民俗文化闻名。
  • A. Moshan Scenic Area
    Moshan Scenic Area is a popular tourist destination within Wuhan’s East Lake area, known for its forested hills, temples, and panoramic lake views.
  • B. Xuancheng
    Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
  • C. Tingtao Scenic Area
    Tingtao Scenic Area is a popular lakeside tourist spot within Wuhan’s East Lake area, known for its tranquil waterfront views, landscaped gardens, and cultural pavilions.
  • D. 赤城山
    赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
  • E. Chuting Scenic Area
    Chuting Scenic Area is a picturesque tourist spot within Wuhan’s East Lake area, known for its lakeside views, landscaped greenery, and recreational walking paths.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb19b708190a28b1a0037860202 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1db1c6008190bbe61bad1a2a7e72 completed March 8, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad1e1e9fa081909201036f686fa110 completed March 8, 2026, 6:58 a.m.
Created at: March 1, 2026, 8:12 p.m.